{"title":"An Agent Based Simulation Model Applied to Emergency Vehicles in High Traffic Urban Environments","authors":"Andreea Ion, Vlad Constantinescu, M. Pătrașcu","doi":"10.1109/GOCICT.2015.26","DOIUrl":null,"url":null,"abstract":"Advances in information and communication technology offer new tools in managing the ever-growing urban infrastructure. It is non-trivial to design, maintain and expand road networks that insure a safe and fast transport of goods and people while still permitting a quick intervention in emergency situations. The objective of this paper is to present a simulated traffic model application. In this respect, we employ the use of cell agents which are a basic component of CitySCAPE, a Synergic Control Architecture for Protection during Emergencies. The traffic system is modelled and simulated using a multi-agent based solution which will allow emergency responders to go through a group of intersections with minimal waiting time. The purpose of the simulation is to obtain a lower travel time for emergency vehicles than the average value, inside the considered geographical area, taking into account the inherent uncertainties of the drivers' decisions to follow certain urban routes.","PeriodicalId":221523,"journal":{"name":"2015 Annual Global Online Conference on Information and Computer Technology (GOCICT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Annual Global Online Conference on Information and Computer Technology (GOCICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GOCICT.2015.26","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Advances in information and communication technology offer new tools in managing the ever-growing urban infrastructure. It is non-trivial to design, maintain and expand road networks that insure a safe and fast transport of goods and people while still permitting a quick intervention in emergency situations. The objective of this paper is to present a simulated traffic model application. In this respect, we employ the use of cell agents which are a basic component of CitySCAPE, a Synergic Control Architecture for Protection during Emergencies. The traffic system is modelled and simulated using a multi-agent based solution which will allow emergency responders to go through a group of intersections with minimal waiting time. The purpose of the simulation is to obtain a lower travel time for emergency vehicles than the average value, inside the considered geographical area, taking into account the inherent uncertainties of the drivers' decisions to follow certain urban routes.